- A
Hash distribution on date column with clustered index.
Why wrong: Date may have lower cardinality leading to data skew.
- B
Replicated distribution with heap index.
Why wrong: Replicated is for small tables; heap index is not optimized for analytics.
- C
Round-robin distribution with clustered index.
Why wrong: Round-robin is not optimized for filtering on specific columns.
- D
Hash distribution on region column with clustered columnstore index.
Hash distribution on a high-cardinality column improves joins and filtering; columnstore is efficient for large tables.
Quick Answer
The answer is hash distribution on the region column with a clustered columnstore index. This strategy is correct because hash distribution on a high-cardinality column like region ensures data is spread evenly across distributions, minimizing data movement when filtering on that column, while the clustered columnstore index provides superior compression and scan performance for large fact tables. On the DP-203 exam, this scenario tests your understanding of workload patterns: fact tables with frequent filters on high-cardinality columns demand hash distribution, not round-robin (for staging) or replication (for small dimensions). A common trap is choosing round-robin for simplicity, but that causes full table scans on every query. Remember the memory tip: “Hash for high-cardinality filters, columnstore for large fact storage.”
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are configuring Azure Synapse Analytics dedicated SQL pool. To optimize query performance for a large fact table that is frequently filtered on date and region columns, which table distribution and indexing strategy should you recommend?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Hash distribution on region column with clustered columnstore index.
Option B is correct because hash distribution on region spreads data evenly if region has high cardinality, and clustered columnstore index is optimal for large fact tables. Option A is wrong because round-robin distribution is for staging tables. Option C is wrong because heap index is for temporary data. Option D is wrong because replicated distribution is for small dimension tables.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hash distribution on date column with clustered index.
Why it's wrong here
Date may have lower cardinality leading to data skew.
- ✗
Replicated distribution with heap index.
Why it's wrong here
Replicated is for small tables; heap index is not optimized for analytics.
- ✗
Round-robin distribution with clustered index.
Why it's wrong here
Round-robin is not optimized for filtering on specific columns.
- ✓
Hash distribution on region column with clustered columnstore index.
Why this is correct
Hash distribution on a high-cardinality column improves joins and filtering; columnstore is efficient for large tables.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Secure, monitor, and optimize data storage and data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Hash distribution on region column with clustered columnstore index. — Option B is correct because hash distribution on region spreads data evenly if region has high cardinality, and clustered columnstore index is optimal for large fact tables. Option A is wrong because round-robin distribution is for staging tables. Option C is wrong because heap index is for temporary data. Option D is wrong because replicated distribution is for small dimension tables.
What should I do if I get this DP-203 question wrong?
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
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